A Structured Framework for Hybrid Research Methodologies in Engineering
Session
Mechatronics, System Engineering and Robotics
Description
Extraordinary developments in various fields of engineering, specifically in Mechatronics, have brought research in this field to a new level by integrating complex quantitative computer modeling with qualitative knowledge from human developers, operators, and users of systems. The aim of this paper in this context is to propose a structured conceptual framework for hybrid research that combines simulation, experimental data, and results generated by experts in engineering fields. The explicit integration of humans with technology in a joint research approach is assumed to enable more effective and efficient design and validation of engineering systems. The small-scale case study will confirm the assumption that the proposed hybrid research methodology enables greater predictive accuracy and effective decision-making in the optimization of engineering systems. This model is supposed to practically support researchers, educators, designers, and developers in hybrid engineering research.
Keywords:
hybrid methodology, mechatronics, simulation, human factors, reproducibility
Proceedings Editor
Edmond Hajrizi
ISBN
978-9951-982-41-2
Location
UBT Lipjan, Kosovo
Start Date
25-10-2025 9:00 AM
End Date
26-10-2025 6:00 PM
DOI
10.33107/ubt-ic.2025.289
Recommended Citation
Limani, Ylber; Gashi, Rona; and Pllana, Oltiana, "A Structured Framework for Hybrid Research Methodologies in Engineering" (2025). UBT International Conference. 6.
https://knowledgecenter.ubt-uni.net/conference/2025UBTIC/MSER/6
A Structured Framework for Hybrid Research Methodologies in Engineering
UBT Lipjan, Kosovo
Extraordinary developments in various fields of engineering, specifically in Mechatronics, have brought research in this field to a new level by integrating complex quantitative computer modeling with qualitative knowledge from human developers, operators, and users of systems. The aim of this paper in this context is to propose a structured conceptual framework for hybrid research that combines simulation, experimental data, and results generated by experts in engineering fields. The explicit integration of humans with technology in a joint research approach is assumed to enable more effective and efficient design and validation of engineering systems. The small-scale case study will confirm the assumption that the proposed hybrid research methodology enables greater predictive accuracy and effective decision-making in the optimization of engineering systems. This model is supposed to practically support researchers, educators, designers, and developers in hybrid engineering research.